The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-06-29"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "10302151 (up from 10145791 yesterday: 1.54 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "505505 (up from 501893 yesterday: 0.72 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 4.91



In- Depth Country Wise Stats (With Atleast 5000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 2590651 41655 1.63 126140 337 0.27 4.87
Brazil 1368195 24052 1.79 58314 692 1.20 4.26
Russia 640246 6683 1.05 9152 92 1.02 1.43
India 566840 18522 3.38 16893 418 2.54 2.98
United Kingdom 313470 830 0.27 43659 25 0.06 13.93
Peru 282365 2946 1.05 9504 187 2.01 3.37
Chile 275999 4017 1.48 5575 66 1.20 2.02
Spain 248970 200 0.08 28346 3 0.01 11.39
Italy 240436 126 0.05 34744 6 0.02 14.45
Iran 225205 2536 1.14 10670 162 1.54 4.74
Mexico 220657 3805 1.75 27121 473 1.77 12.29
Pakistan 209337 2825 1.37 4304 137 3.29 2.06
France 201522 2046 1.03 29816 35 0.12 14.80
Turkey 198613 1374 0.70 5115 18 0.35 2.58
Germany 195042 349 0.18 8976 8 0.09 4.60
Saudi Arabia 186436 3943 2.16 1599 48 3.09 0.86
South Africa 144264 6130 4.44 2529 73 2.97 1.75
Bangladesh 141801 4014 2.91 1783 45 2.59 1.26
Canada 105830 637 0.61 8628 46 0.54 8.15
Qatar 95106 693 0.73 113 3 2.73 0.12
Colombia 91995 0 0.00 3256 0 0.00 3.54
China 84780 23 0.03 4641 0 0.00 5.47
Sweden 67667 2530 3.88 5310 30 0.57 7.85
Egypt 66754 1566 2.40 2872 83 2.98 4.30
Argentina 62268 2335 3.90 1280 48 3.90 2.06
Belarus 61790 315 0.51 387 4 1.04 0.63
Belgium 61361 66 0.11 9732 0 0.00 15.86
Ecuador 55665 410 0.74 4502 73 1.65 8.09
Indonesia 55092 1082 2.00 2805 51 1.85 5.09
Netherlands 50433 78 0.15 6126 2 0.03 12.15
United Arab Emirates 48246 449 0.94 314 1 0.32 0.65
Iraq 47151 1749 3.85 1839 83 4.73 3.90
Kuwait 45524 582 1.30 350 2 0.57 0.77
Ukraine 44538 682 1.56 1161 19 1.66 2.61
Singapore 43661 202 0.46 26 0 0.00 0.06
Portugal 41912 266 0.64 1568 4 0.26 3.74
Oman 39060 910 2.39 169 6 3.68 0.43
Philippines 36438 983 2.77 1255 11 0.88 3.44
Poland 34154 247 0.73 1444 6 0.42 4.23
Panama 32785 1099 3.47 620 16 2.65 1.89
Bolivia 32125 601 1.91 1071 57 5.62 3.33
Dominican Republic 31816 443 1.41 733 7 0.96 2.30
Switzerland 31652 35 0.11 1962 0 0.00 6.20
Afghanistan 31238 271 0.88 733 12 1.66 2.35
Romania 26582 269 1.02 1634 22 1.36 6.15
Bahrain 26239 534 2.08 84 1 1.20 0.32
Ireland 25462 23 0.09 1735 0 0.00 6.81
Nigeria 25133 566 2.30 573 8 1.42 2.28
Armenia 25127 482 1.96 433 7 1.64 1.72
Israel 24441 686 2.89 319 1 0.31 1.31
Kazakhstan 21819 492 2.31 188 10 5.62 0.86
Honduras 18818 736 4.07 485 6 1.25 2.58
Japan 18476 110 0.60 972 0 0.00 5.26
Austria 17723 69 0.39 703 1 0.14 3.97
Guatemala 17409 479 2.83 746 19 2.61 4.29
Ghana 17351 609 3.64 112 0 0.00 0.65
Azerbaijan 16968 544 3.31 206 8 4.04 1.21
Moldova 16357 107 0.66 536 6 1.13 3.28
Serbia 14288 242 1.72 274 4 1.48 1.92
Algeria 13571 298 2.25 905 8 0.89 6.67
Nepal 13248 476 3.73 29 1 3.57 0.22
Denmark 12951 76 0.59 605 1 0.17 4.67
Korea, South 12800 43 0.34 282 0 0.00 2.20
Cameroon 12592 0 0.00 313 0 0.00 2.49
Morocco 12290 238 1.97 225 4 1.81 1.83
Czechia 11805 202 1.74 348 0 0.00 2.95
Sudan 9257 0 0.00 572 0 0.00 6.18
Cote d’Ivoire 9214 113 1.24 66 0 0.00 0.72
Norway 8862 7 0.08 249 0 0.00 2.81
Malaysia 8637 3 0.03 121 0 0.00 1.40
Uzbekistan 8222 274 3.45 23 1 4.55 0.28
Australia 7834 70 0.90 104 0 0.00 1.33
Finland 7209 11 0.15 328 0 0.00 4.55
Congo (Kinshasa) 6939 112 1.64 167 10 6.37 2.41
Senegal 6698 112 1.70 108 3 2.86 1.61
North Macedonia 6209 129 2.12 298 12 4.20 4.80
Kenya 6190 120 1.98 144 1 0.70 2.33
El Salvador 6173 239 4.03 164 12 7.89 2.66
Haiti 5933 156 2.70 105 5 5.00 1.77
Tajikistan 5900 51 0.87 52 0 0.00 0.88
Ethiopia 5846 157 2.76 103 5 5.10 1.76
Venezuela 5530 233 4.40 48 4 9.09 0.87
Gabon 5394 185 3.55 42 2 5.00 0.78
Guinea 5351 9 0.17 31 0 0.00 0.58
Kyrgyzstan 5296 279 5.56 57 7 14.00 1.08

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 393403 864 0.22 31403 6 0.02 7.98 20222.67 1614.25 1 in 49
California 223646 8350 3.88 5983 51 0.86 2.68 5660.17 151.42 1 in 177
New Jersey 171272 90 0.05 14992 17 0.11 8.75 19282.63 1687.87 1 in 52
Texas 156706 6554 4.36 2416 14 0.58 1.54 5404.42 83.32 1 in 185
Florida 146341 5266 3.73 3447 28 0.82 2.36 6813.61 160.49 1 in 147
Illinois 142461 738 0.52 6902 14 0.20 4.84 11242.35 544.67 1 in 89
Massachusetts 108768 101 0.09 8094 35 0.43 7.44 15651.19 1164.69 1 in 64
Pennsylvania 90467 604 0.67 6614 8 0.12 7.31 7066.64 516.64 1 in 142
Georgia 79417 2207 2.86 2784 6 0.22 3.51 7479.88 262.21 1 in 134
Arizona 74545 625 0.85 1598 4 0.25 2.14 9789.37 209.85 1 in 102
Michigan 70223 277 0.40 6161 4 0.06 8.77 7031.54 616.91 1 in 142
Maryland 67254 477 0.71 3175 7 0.22 4.72 11124.31 525.17 1 in 90
North Carolina 63736 1488 2.39 1357 5 0.37 2.13 6076.99 129.38 1 in 165
Virginia 62189 453 0.73 1740 8 0.46 2.80 7285.91 203.85 1 in 137
Louisiana 57081 845 1.50 3199 0 0.00 5.60 12278.67 688.14 1 in 81
Ohio 51046 737 1.46 2818 11 0.39 5.52 4366.97 241.08 1 in 229
Connecticut 46362 59 0.13 4320 4 0.09 9.32 13003.72 1211.68 1 in 77
Indiana 45228 298 0.66 2624 5 0.19 5.80 6718.14 389.77 1 in 149
Tennessee 42297 2125 5.29 592 8 1.37 1.40 6189.95 86.64 1 in 162
Alabama 37175 1734 4.89 929 10 1.09 2.50 7581.81 189.47 1 in 132
Minnesota 35861 312 0.88 1470 10 0.68 4.10 6358.75 260.66 1 in 157
South Carolina 34644 1324 3.97 720 4 0.56 2.08 6728.67 139.84 1 in 149
Colorado 32494 204 0.63 1681 5 0.30 5.17 5642.56 291.90 1 in 177
Washington 32253 501 1.58 1320 10 0.76 4.09 4235.52 173.34 1 in 236
Iowa 28845 325 1.14 711 5 0.71 2.46 9142.43 225.35 1 in 109
Wisconsin 28058 315 1.14 777 0 0.00 2.77 4818.95 133.45 1 in 208
Mississippi 26567 675 2.61 1059 20 1.92 3.99 8926.64 355.83 1 in 112
Utah 21664 564 2.67 168 1 0.60 0.78 6757.42 52.40 1 in 148
Missouri 20825 136 0.66 1004 0 0.00 4.82 3393.12 163.59 1 in 295
Arkansas 20257 439 2.22 265 1 0.38 1.31 6712.45 87.81 1 in 149
Nebraska 19042 143 0.76 269 2 0.75 1.41 9843.84 139.06 1 in 102
Nevada 17894 734 4.28 504 4 0.80 2.82 5809.45 163.63 1 in 172
Rhode Island 16764 103 0.62 946 19 2.05 5.64 15824.63 892.99 1 in 63
Kentucky 15347 115 0.75 560 2 0.36 3.65 3435.12 125.34 1 in 291
Kansas 14209 362 2.61 273 4 1.49 1.92 4877.26 93.71 1 in 205
Oklahoma 13175 228 1.76 385 0 0.00 2.92 3329.57 97.30 1 in 300
New Mexico 11982 173 1.46 493 1 0.20 4.11 5714.34 235.12 1 in 175
Delaware 11376 150 1.34 507 0 0.00 4.46 11682.50 520.66 1 in 86
District of Columbia 10292 44 0.43 551 1 0.18 5.35 14583.09 780.73 1 in 69
Oregon 8485 144 1.73 204 2 0.99 2.40 2011.74 48.37 1 in 497
Puerto Rico 7250 61 0.85 153 0 0.00 2.11 2270.10 47.91 1 in 441
South Dakota 6716 35 0.52 91 0 0.00 1.35 7591.63 102.86 1 in 132
New Hampshire 5760 13 0.23 367 0 0.00 6.37 4236.19 269.91 1 in 236
Idaho 5752 430 8.08 91 0 0.00 1.58 3209.71 50.78 1 in 312
North Dakota 3539 44 1.26 79 0 0.00 2.23 4643.98 103.67 1 in 215
Maine 3219 28 0.88 105 1 0.96 3.26 2394.71 78.11 1 in 418
West Virginia 2870 38 1.34 93 0 0.00 3.24 1605.91 52.04 1 in 623
Wyoming 1450 33 2.33 20 0 0.00 1.38 2505.36 34.56 1 in 399
Vermont 1208 6 0.50 56 0 0.00 4.64 1935.93 89.75 1 in 517
Montana 919 56 6.49 22 0 0.00 2.39 859.86 20.58 1 in 1163
Alaska 901 21 2.39 14 0 0.00 1.55 1231.64 19.14 1 in 812
Hawaii 900 1 0.11 18 0 0.00 2.00 635.65 12.71 1 in 1573

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestsPerMillPopl
New York 3862913 393403 10.18 198571.00
California 4061692 223646 5.51 102795.84
New Jersey 1403984 171272 12.20 158067.32
Texas 1819189 156706 8.61 62739.57
Florida 1912743 146341 7.65 89057.01
Illinois 1572949 142461 9.06 124129.67
Massachusetts 842287 108768 12.91 121201.04
Pennsylvania 752889 90467 12.02 58810.31
Georgia 823117 79417 9.65 77525.12
Arizona 511423 74545 14.58 67160.89
Michigan 1029375 70223 6.82 103072.97
Maryland 529313 67254 12.71 87552.27
North Carolina 886305 63736 7.19 84505.90
Virginia 636372 62189 9.77 74555.75
Louisiana 704637 57081 8.10 151574.15
Ohio 774382 51046 6.59 66248.21
Connecticut 444976 46362 10.42 124807.90
Indiana 476519 45228 9.49 70781.86
Tennessee 777206 42297 5.44 113740.12
Alabama 393293 37175 9.45 80211.74
Minnesota 592955 35861 6.05 105140.73
South Carolina 369305 34644 9.38 71727.62
Colorado 319565 32494 10.17 55492.21
Washington 534443 32253 6.03 70183.91
Iowa 300845 28845 9.59 95352.88
Wisconsin 558392 28058 5.02 95903.53
Mississippi 283522 26567 9.37 95264.72
Utah 333905 21664 6.49 104151.40
Missouri 367406 20825 5.67 59863.19
Arkansas 302536 20257 6.70 100249.68
Nebraska 175272 19042 10.86 90607.57
Nevada 273017 17894 6.55 88637.39
Rhode Island 238520 16764 7.03 225154.60
Kentucky 361441 15347 4.25 80901.40
Kansas 176725 14209 8.04 60661.16
Oklahoma 326193 13175 4.04 82435.02
New Mexico 331048 11982 3.62 157880.30
Delaware 109931 11376 10.35 112892.86
District of Columbia 95360 10292 10.79 135118.86
Oregon 235133 8485 3.61 55748.62
Puerto Rico 7250 7250 100.00 2270.10
South Dakota 79457 6716 8.45 89816.53
New Hampshire 118298 5760 4.87 87002.31
Idaho 86345 5752 6.66 48181.85
North Dakota 105691 3539 3.35 138690.82
Maine 93523 3219 3.44 69574.59
West Virginia 169655 2870 1.69 94930.64
Wyoming 31856 1450 4.55 55041.91
Vermont 64993 1208 1.86 104157.28
Montana 88743 919 1.04 83032.21
Alaska 108709 901 0.83 148601.93
Hawaii 77155 900 1.17 54492.92

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 174761 4878 2.87 90911 52.02 75979 7855 245 3.22 4.49
Tamil Nadu 90167 3943 4.57 50074 55.53 38892 1201 60 5.26 1.33
Delhi 87360 2199 2.58 58348 66.79 26270 2742 62 2.31 3.14
Gujarat 32643 620 1.94 23670 72.51 7125 1848 20 1.09 5.66
Uttar Pradesh 23492 664 2.91 16084 68.47 6711 697 25 3.72 2.97
West Bengal 18559 652 3.64 12130 65.36 5761 668 15 2.30 3.60
Rajasthan 18008 348 1.97 14220 78.96 3375 413 8 1.98 2.29
Telangana 16339 945 6.14 7294 44.64 8785 260 7 2.77 1.59
Karnataka 15242 947 6.62 7920 51.96 7072 246 20 8.85 1.61
Andhra Pradesh 14595 704 5.07 6511 44.61 7897 187 7 3.89 1.28
Haryana 14548 338 2.38 9972 68.55 4340 236 4 1.72 1.62
Madhya Pradesh 13593 223 1.67 10395 76.47 2626 572 8 1.42 4.21
Bihar 9988 370 3.85 7544 75.53 2376 68 5 7.94 0.68
Assam 8408 613 7.86 5648 67.17 2745 12 1 9.09 0.14
Jammu and Kashmir 7497 260 3.59 4722 62.99 2674 101 6 6.32 1.35
Odisha 7065 206 3.00 5189 73.45 1844 32 2 6.67 0.45
State Unassigned 7004 -281 -3.86 0 0.00 7004 0 0 NaN 0.00
Punjab 5568 150 2.77 3867 69.45 1557 144 6 4.35 2.59
Kerala 4443 131 3.04 2304 51.86 2112 25 1 4.17 0.56
Uttarakhand 2881 50 1.77 2231 77.44 582 41 2 5.13 1.42
Chhattisgarh 2858 63 2.25 2250 78.73 595 13 0 0.00 0.45
Jharkhand 2490 64 2.64 1884 75.66 591 15 0 0.00 0.60
Tripura 1393 8 0.58 1092 78.39 300 1 0 0.00 0.07
Goa 1315 64 5.12 596 45.32 716 3 0 0.00 0.23
Manipur 1234 7 0.57 553 44.81 681 0 0 NaN 0.00
Ladakh 973 9 0.93 648 66.60 324 1 0 0.00 0.10
Himachal Pradesh 953 11 1.17 575 60.34 356 9 1 12.50 0.94
Puducherry 714 24 3.48 272 38.10 430 12 1 9.09 1.68
Nagaland 459 8 1.77 168 36.60 291 0 0 NaN 0.00
Chandigarh 440 6 1.38 364 82.73 70 6 0 0.00 1.36
Dadra and Nagar Haveli and Daman and Diu 213 10 4.93 82 38.50 130 0 0 NaN 0.00
Arunachal Pradesh 191 4 2.14 62 32.46 128 1 0 0.00 0.52
Mizoram 160 9 5.96 122 76.25 38 0 0 NaN 0.00
Andaman and Nicobar Islands 97 7 7.78 45 46.39 52 0 0 NaN 0.00
Sikkim 88 0 0.00 50 56.82 38 0 0 NaN 0.00
Meghalaya 53 2 3.92 42 79.25 10 1 0 0.00 1.89
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 1030431 93839 78 0.08 9.11 321 43 10823 16640 17.73
Piemonte 411939 31338 2 0.01 7.61 283 11 1490 4087 13.04
Emilia-Romagna 489451 28472 16 0.06 5.82 111 12 1032 4255 14.94
Veneto 948871 19278 3 0.02 2.03 17 1 462 2008 10.42
Toscana 334198 10248 5 0.05 3.07 14 6 327 1104 10.77
Liguria 145902 9974 7 0.07 6.84 47 3 277 1558 15.62
Lazio 335751 8105 9 0.11 2.41 190 13 840 837 10.33
Marche 136385 6785 0 0.00 4.97 9 0 274 991 14.61
P.A. Trento 120168 4863 0 0.00 4.05 1 0 53 405 8.33
Campania 279246 4666 1 0.02 1.67 20 0 162 431 9.24
Puglia 175811 4531 0 0.00 2.58 28 0 145 543 11.98
Friuli Venezia Giulia 187500 3308 0 0.00 1.76 12 0 36 345 10.43
Abruzzo 104822 3287 1 0.03 3.14 28 2 282 462 14.06
Sicilia 206550 3078 1 0.03 1.49 21 3 127 281 9.13
P.A. Bolzano 83729 2639 2 0.08 3.15 2 1 85 292 11.06
Umbria 94519 1440 0 0.00 1.52 2 1 9 80 5.56
Sardegna 82478 1364 0 0.00 1.65 6 0 14 132 9.68
Valle d’Aosta 18148 1194 0 0.00 6.58 3 0 3 146 12.23
Calabria 94170 1180 0 0.00 1.25 4 0 26 97 8.22
Molise 22474 445 0 0.00 1.98 0 0 26 23 5.17
Basilicata 39294 402 1 0.25 1.02 1 0 3 27 6.72

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 55390 311 0.56 5485 37 0.68 9.90 6487.72 642.45 1 in 154
Ontario 36823 226 0.62 2726 9 0.33 7.40 2502.95 185.29 1 in 400
Alberta 8067 71 0.89 154 0 0.00 1.91 1827.95 34.90 1 in 547
British Columbia 2904 26 0.90 174 0 0.00 5.99 568.20 34.04 1 in 1760
Nova Scotia 1061 0 0.00 63 0 0.00 5.94 1085.47 64.45 1 in 921
Saskatchewan 779 1 0.13 13 0 0.00 1.67 659.24 11.00 1 in 1517
Manitoba 324 2 0.62 7 0 0.00 2.16 235.21 5.08 1 in 4252
Newfoundland and Labrador 261 0 0.00 3 0 0.00 1.15 500.61 5.75 1 in 1998
New Brunswick 165 0 0.00 2 0 0.00 1.21 211.54 2.56 1 in 4727
Prince Edward Island 27 0 0.00 0 0 NaN 0.00 170.72 0.00 1 in 5858
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Guangdong 1641 8 0.49
Henan 1276 22 1.72
Zhejiang 1269 1 0.08
Hong Kong 1203 7 0.58
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 947 13 1.37
Jiangxi 932 1 0.11
Beijing 919 9 0.98
Shandong 792 7 0.88
Shanghai 712 7 0.98
Jiangsu 654 0 0.00
Sichuan 595 3 0.50
Chongqing 582 6 1.03
Fujian 363 1 0.28
Hebei 349 6 1.72
Shaanxi 320 3 0.94
Guangxi 254 2 0.79
Inner Mongolia 238 1 0.42
Shanxi 198 0 0.00
Tianjin 198 3 1.52
Yunnan 185 2 1.08
Hainan 171 6 3.51
Gansu 164 2 1.22
Jilin 155 2 1.29
Liaoning 155 2 1.29
Guizhou 147 2 1.36
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 7917.64 385.51 1 in 126
Brazil 6537.00 278.61 1 in 153
Russia 4430.77 63.34 1 in 226
India 423.33 12.62 1 in 2362
United Kingdom 4718.09 657.12 1 in 212
Peru 8777.28 295.43 1 in 114
Chile 15290.80 308.86 1 in 65
Spain 5335.83 607.50 1 in 187
Italy 3975.46 574.47 1 in 252
Iran 2774.83 131.47 1 in 360
Mexico 1707.87 209.91 1 in 586
Pakistan 1062.62 21.85 1 in 941
France 3008.24 445.08 1 in 332
Turkey 2457.78 63.30 1 in 407
Germany 2355.86 108.42 1 in 424
Saudi Arabia 5659.87 48.54 1 in 177
South Africa 2543.44 44.59 1 in 393
Bangladesh NA NA 1 in NA
Canada 2815.38 229.53 1 in 355
Qatar 36038.65 42.82 1 in 28

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 214939 22470 10.45
Los Angeles California 100958 3331 3.30
Cook Illinois 90122 4554 5.05
Maricopa Arizona 45178 746 1.65
Nassau New York 41780 2182 5.22
Suffolk New York 41339 1979 4.79
Miami-Dade Florida 35222 975 2.77
Westchester New York 34798 1424 4.09
Harris Texas 30729 376 1.22
Philadelphia Pennsylvania 25991 1595 6.14
Middlesex Massachusetts 23946 1862 7.78
Wayne Michigan 22662 2711 11.96
Dallas Texas 20737 353 1.70
Suffolk Massachusetts 19795 1007 5.09
Bergen New Jersey 19375 1985 10.25
Hudson New Jersey 18838 1449 7.69
Essex New Jersey 18731 2021 10.79
Prince George’s Maryland 18505 680 3.67
Passaic New Jersey 16876 1183 7.01
Middlesex New Jersey 16764 1319 7.87
Fairfield Connecticut 16664 1376 8.26
Riverside California 16634 440 2.65
Union New Jersey 16377 1325 8.09
Essex Massachusetts 16069 1106 6.88
Broward Florida 15045 382 2.54
Montgomery Maryland 14675 736 5.02
Clark Nevada 14607 414 2.83
Fairfax Virginia 13840 478 3.45
San Diego California 13832 361 2.61
Palm Beach Florida 13711 503 3.67
Rockland New York 13580 667 4.91
Orange California 13064 330 2.53
Providence Rhode Island 12937 0 0.00
Worcester Massachusetts 12342 924 7.49
New Haven Connecticut 12318 1075 8.73
Oakland Michigan 11942 1085 9.09
San Bernardino California 11797 249 2.11
Tarrant Texas 11739 225 1.92
Hennepin Minnesota 11656 773 6.63
Hartford Connecticut 11623 1370 11.79
Marion Indiana 11279 677 6.00
Milwaukee Wisconsin 11216 389 3.47
Salt Lake Utah 10887 106 0.97
Mecklenburg North Carolina 10863 146 1.34
Bexar Texas 10797 109 1.01
Orange New York 10744 478 4.45
Hillsborough Florida 10323 135 1.31
District of Columbia District of Columbia 10292 551 5.35
King Washington 10019 610 6.09
Orange Florida 10014 56 0.56

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc